7 of 7 Permanent Data Governance Jobs in Worcestershire

Key Responsibilities: Lead the design and implementation of scalable data infrastructure for machine learning, analytics, and reporting. Develop and launch secure APIs and DaaS solutions. Deploy production-ready ML models and manage their lifecycle. Promote data governance and quality standards across the platform. Collaborate with cross-functional teams to translate business challenges into technical solutions. Tech Stack … Includes: Python, SQL, Azure, Postgres, Langchain, Ollama, Polars, GitLab CI/CD, Systemd, Ansible Ideal Candidate Profile: Significant experience as a Data Science or ML Engineer, with leadership responsibilities. Strong Python skills and experience with cloud-based data platforms (preferably Azure). Proven success deploying ML models into production. Solid understanding of data privacy, governance, and More ❯

Key Responsibilities: Lead the design and implementation of scalable data infrastructure for machine learning, analytics, and reporting. Develop and launch secure APIs and DaaS solutions. Deploy production-ready ML models and manage their lifecycle. Promote data governance and quality standards across the platform. Collaborate with cross-functional teams to translate business challenges into technical solutions. Tech Stack … Includes: Python, SQL, Azure, Postgres, Langchain, Ollama, Polars, GitLab CI/CD, Systemd, Ansible Ideal Candidate Profile: Significant experience as a Data Science or ML Engineer, with leadership responsibilities. Strong Python skills and experience with cloud-based data platforms (preferably Azure). Proven success deploying ML models into production. Solid understanding of data privacy, governance, and More ❯

Technical Lead - Data Science & Engineering Location: Hybrid - 2 days per week in either Worcestershire or Hampshire Salary: £63,000 - £66,000 DOE + 10% bonus Are you a technically strong data leader who thrives at the intersection of strategy, architecture and hands-on delivery? Want to shape the future of data science and engineering within a fast … evolving SaaS business? We're looking for a Technical Lead within Data Science & Engineering to drive the technical direction of a modern data platform supporting analytics, machine learning and Data-as-a-Service (DaaS) capabilities. In this role you'll combine deep technical expertise with cross-functional leadership mentoring a multidisciplinary team and guiding the development of … performant, secure and scalable data products. You'll be at the centre of data innovation, building infrastructure and ensuring that data science and engineering efforts are aligned, ethical and production-ready. Key responsibilities include: Architecting and scaling cloud-based data platforms and DaaS solutions Acting as the technical authority across data science and engineering, setting More ❯

Technical Lead - Data Science & Engineering Hybrid - Two Days a week Competitive salary + benefits About the Role: An exciting opportunity has arisen for a Technical Lead to drive innovation across data science and engineering initiatives within a growing and forward-thinking software provider. You'll play a key role in shaping a unified data platform and delivering … high-impact machine learning and data solutions across cloud and hybrid environments. This is a hands-on leadership role, combining deep technical expertise with mentoring and cross-functional collaboration. What You'll Be Doing: Architect and scale a modern data platform and DaaS (Data-as-a-Service) infrastructure Lead and mentor a team of data scientists … machine learning models in production Define coding standards and implement best practices in CI/CD, MLOps, and API delivery Collaborate with business, product, and engineering teams to align data strategy with commercial goals Champion data governance, security, and compliance throughout the data lifecycle Evaluate and introduce new technologies to enhance performance, scalability, and maintainability What More ❯

migrations (e.g. Exchange to GWS) Comfortable with client-facing consulting and stakeholder management Experience integrating GWS with tools like Okta, Azure AD, or M365 Understanding of security, compliance, and data governance in GWS environments Bonus points for: GWS certifications (e.g. Google Workspace Administrator) Scripting knowledge (e.g. Apps Script, PowerShell, Python) Broader cloud experience (e.g. GCP, AWS, or Azure More ❯

Key Responsibilities: Lead the design and implementation of scalable data infrastructure for machine learning, analytics, and reporting. Develop and launch secure APIs and DaaS solutions. Deploy production-ready ML models and manage their lifecycle. Promote data governance and quality standards across the platform click apply for full job details More ❯

Key Responsibilities: Lead the design and implementation of scalable data infrastructure for machine learning, analytics, and reporting. Develop and launch secure APIs and DaaS solutions. Deploy production-ready ML models and manage their lifecycle. Promote data governance and quality standards across the platform. Collaborate with cross-functional teams to translate business challenges into technical Skills, Experience, Qualifications More ❯